At a Glance
- Tasks: Lead a high-performance analytics team to drive data-driven commercial decisions.
- Company: Join Octopus Energy, the UK's largest energy retailer with a passion for innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and global cooperation.
- Why this job: Make a real impact in the energy sector while leading a talented team.
- Qualifications: Experience managing data teams and expertise in SQL and Python required.
The predicted salary is between 80000 - 100000 £ per year.
In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK’s largest energy retailer and a well-loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time‑of‑use tariffs and data‑driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and Intelligent EV charging, rewarding them for shifting consumption to greener, cheaper periods.
You and a group of strong analysts will be generating insights to guide Octopus’ commercial decisions. You will be leading the UK data commercial team and guiding global cooperation in this critical area. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands‑on technical expertise with strong team leadership.
Key Responsibilities- Lead UK team: Lead, set priorities, coordinate and review the work of a high‑performance team of commercial and marketing data analysts.
- Strategic analytics: Use data to guide our understanding of our customers and our competitors. Impact our UK and global strategy through insights presented to the senior leadership team.
- Pricing operations: Enable us to react quickly to the ever‑changing energy industry through smooth price changes, ensuring we offer good deals for our millions of customers and comply with regulations.
- Metrics: Help people all across the business understand the key drivers of their operations through well‑defined KPIs and intuitive dashboards. Examples of metrics include seeing why people churn, performance of marketing campaigns, lifetime value calculations etc.
- Global cooperation: Prioritise and coordinate the data teams supporting Octopus’ operations globally, balancing local needs with global opportunities.
- Experience as a manager of a high‑performing data team.
- Hands‑on expertise with modern data platforms and analytical tools (especially SQL and Python).
- Passion for both hands‑on data work and leading teams to deliver insights.
- Strong communication skills to influence non‑technical stakeholders and senior leadership.
- Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
- A track record of delivering actionable insights that drive measurable business impact.
- Python, pandas and SQL in Jupyter notebooks for analysis.
- dbt and Databricks data platform with Delta Lake.
- Lightdash as our BI tool and semantic layer.
- Streamlit for interactive data applications.
- Airflow for orchestration.
- Kubernetes for application deployment.
- CI/CD with GitHub and CircleCI.
- Infrastructure on AWS, deployed with Terraform / Spacelift.
As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Head of Analytics - Commercial employer: Octoenergy
At Octopus Energy, we pride ourselves on being an innovative and forward-thinking employer, dedicated to creating a positive impact in the renewable energy sector. Our vibrant work culture fosters collaboration and creativity, allowing you to take ownership of high-impact products that genuinely enhance customer experiences. With ample opportunities for professional growth and a commitment to sustainability, joining our Low Carbon Tech team means being part of a mission-driven organisation that values your contributions and supports your career aspirations.
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We think this is how you could land Head of Analytics - Commercial
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We think you need these skills to ace Head of Analytics - Commercial
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Octoenergy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Octoenergy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Octoenergy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
